datastepr: An Implementation of a SAS-Style Data Step

Based on a SAS data step. This allows for row-wise dynamic building
of data, iteratively importing slices of existing dataframes, conducting
analyses, and exporting to a results frame. This is particularly useful for
differential or time-series analyses, which are often not well suited to vector-
based operations.